Distributed decision propagation in mobile-agent proximity networks

Soumik Sarkar, Kushal Mukherjee, Asok Ray

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Abstract

This paper develops a distributed algorithm for decision/awareness propagation in mobile-agent networks. A time-dependent proximity network topology is adopted to represent a mobile-agent scenario. The agent-interaction policy formulated here is inspired from the recently developed language-measure theory. Analytical results related to convergence of statistical moments of agent states are derived and then validated by numerical simulation. The results show that a single (user-defined) parameter in the agent interaction policy can be identified to control the trade-off between Propagation Radius (i.e. how far a decision spreads from its source) and Localisation Gradient (i.e. the extent to which the spatial variations may affect localisation of the source) as well as the temporal convergence properties.*An earlier version of the paper reporting preliminary results has been presented at the 2012 American Control Conference, Montreal, Canada.

Original languageEnglish (US)
Pages (from-to)1118-1130
Number of pages13
JournalInternational Journal of Control
Volume86
Issue number6
DOIs
Publication statusPublished - Jun 1 2013

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications

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